On the robustness of average losses for partial-label learning

On the robustness of average losses for partial-label learning

Partial-label learning (PLL) utilizes instances with PLs, where a PL includes several candidate labels but only one is the true label (TL). In PLL, identification-based strategy (IBS) purifies each PL on the fly to select the (most likely) TL for training; average-based strategy (ABS) treats all can...

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書目詳細資料
Main Authors:	Lv, Jiaqi, Liu, Biao, Feng, Lei, Xu, Ning, Xu, Miao, An, Bo, Niu, Gang, Geng, Xin, Sugiyama, Masashi
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Partial-Label Learning Weakly Supervised Learning
在線閱讀:	https://hdl.handle.net/10356/172190
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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